BACKGROUND: It is known that heart rate shows complex behavior, long-term fluctuation of heart rate, and short-term fluctuations in heart failure. Analyzing these properties and examining the relationship to the disease, severity may increase the understanding of the background of heart rate variability (HRV). METHODS: In 61 patients (mean age 65 +/- 9 years, 32 ischemic heart disease, 29 cardiomyopathy), with myocardial dysfunction, 24-hour ambulatory electrocardiography was performed. After the construction of the time series of R-R intervals, 15 HRV parameters were measured, including mean heart rate, standard deviation of N-N intervals (SDNN), ratio of low frequency/high frequency power (LF/HF), HRV triangular index (TI), and ratio of length/width at the 90% level of all scattered points. RESULTS: By using the multiple regression analysis, we tested which HRV parameter (HR, SDNN, LF/HF, TI, or length/width) independently correlated with left ventricular ejection fraction (EF) or left ventricular diastolic dimension (EDD). The results demonstrated that TI and SDNN independently correlated with EF (multiple R = 0.59). Moreover, TI and SDNN independently correlated with EDD (multiple R = 0.45). CONCLUSION: TI and SDNN were indicators of the disease severity in myocardial dysfunction, while LF/HF, indicators of autonomic tone, did not have such an ability. It was of interest that the disease severity contributed to long-term fluctuations (TI, SDNN) of heart rate, rather than short-term fluctuations (LF/HF).